Modelling firm innovation using panel probit estimators

Firm-level innovation is investigated using three probit panel estimators, which control for unobserved heterogeneity, and a standard probit estimator. Results indicate the standard probit model is misspecified and that inter-firm networks are important for innovation.

Bibliographic Details
Main Authors: Harris, Mark, Rogers, M., Siouclis, A.
Format: Journal Article
Language:English
Published: ROUTLEDGE TAYLOR & FRANCIS LTD 2003
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/81811
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author Harris, Mark
Rogers, M.
Siouclis, A.
author_facet Harris, Mark
Rogers, M.
Siouclis, A.
author_sort Harris, Mark
building Curtin Institutional Repository
collection Online Access
description Firm-level innovation is investigated using three probit panel estimators, which control for unobserved heterogeneity, and a standard probit estimator. Results indicate the standard probit model is misspecified and that inter-firm networks are important for innovation.
first_indexed 2025-11-14T11:19:08Z
format Journal Article
id curtin-20.500.11937-81811
institution Curtin University Malaysia
institution_category Local University
language English
last_indexed 2025-11-14T11:19:08Z
publishDate 2003
publisher ROUTLEDGE TAYLOR & FRANCIS LTD
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-818112021-03-16T03:39:05Z Modelling firm innovation using panel probit estimators Harris, Mark Rogers, M. Siouclis, A. Social Sciences Economics Business & Economics R-AND-D DETERMINANTS BINARY Firm-level innovation is investigated using three probit panel estimators, which control for unobserved heterogeneity, and a standard probit estimator. Results indicate the standard probit model is misspecified and that inter-firm networks are important for innovation. 2003 Journal Article http://hdl.handle.net/20.500.11937/81811 10.1080/1350485032000138999 English ROUTLEDGE TAYLOR & FRANCIS LTD restricted
spellingShingle Social Sciences
Economics
Business & Economics
R-AND-D
DETERMINANTS
BINARY
Harris, Mark
Rogers, M.
Siouclis, A.
Modelling firm innovation using panel probit estimators
title Modelling firm innovation using panel probit estimators
title_full Modelling firm innovation using panel probit estimators
title_fullStr Modelling firm innovation using panel probit estimators
title_full_unstemmed Modelling firm innovation using panel probit estimators
title_short Modelling firm innovation using panel probit estimators
title_sort modelling firm innovation using panel probit estimators
topic Social Sciences
Economics
Business & Economics
R-AND-D
DETERMINANTS
BINARY
url http://hdl.handle.net/20.500.11937/81811